Jing Lian
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Co-authors
- Yide MaJizhao LiuXinguo ZhangYunliang QiShouliang LiZhen YangWenhao SunMeng Lou
- Topics
- Advanced Image Fusion Techniques (14 papers)Brain Tumor Detection and Classification (11 papers)Image and Signal Denoising Methods (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jing Lian
51 papers receiving 698 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 398
- Artificial Intelligence 167
- Media Technology 152
- Radiology, Nuclear Medicine and Imaging 91
- Electrical and Electronic Engineering 86
Countries citing papers authored by Jing Lian
This map shows the geographic impact of Jing Lian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Lian more than expected).
Fields of papers citing papers by Jing Lian
This network shows the impact of papers produced by Jing Lian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Lian. The network helps show where Jing Lian may publish in the future.
Co-authorship network of co-authors of Jing Lian
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Lian. A scholar is included among the top collaborators of Jing Lian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Lian. Jing Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 35 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 14 | |
| 20 | Adaptive Thresholds Multi-scale Edge Detection Based on B-Spline Wavelet | 1 |
About Jing Lian
Jing Lian is a scholar working on Media Technology, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 721 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (14 papers), Brain Tumor Detection and Classification (11 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Media Technology (152 citations) and Computer Graphics and Computer-Aided Design (26 citations). Jing Lian has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yide Ma, Jizhao Liu, Xinguo Zhang, Yunliang Qi, Shouliang Li, Zhen Yang, Zhen Yang, Wenhao Sun, Meng Lou and Qidong Liu. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Food Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.